Ingrid Russell

University of Hartford

Papers

4

Total Citations

47

H-Index

3

About

Ingrid Russell is an AI educator and curriculum researcher whose work sits at the intersection of artificial intelligence, machine learning, and computer science pedagogy. She is best known for her contributions to the Project MLeXAI (Machine Learning eXperiences in Artificial Intelligence) initiative, a multi-institutional effort dedicated to building reusable, hands-on curriculum materials for undergraduate AI courses. Her most influential work, "Games and machine learning: a powerful combination in an artificial intelligence course" (2010), has accumulated 31 citations and showcases her innovative approach of using game-based projects to teach complex machine learning concepts in engaging, accessible ways. Russell's research consistently emphasizes the importance of practical, project-centered learning, helping students bridge the gap between AI theory and real-world application. Through her multi-institutional framework for teaching core AI topics, she has helped shape how computer science programs integrate AI education across institutions. Her sustained focus on curriculum development and pedagogical innovation has made her a meaningful contributor to the AI education community, influencing how the next generation of computer scientists encounters and understands artificial intelligence and machine learning.

Research Focus

Key Achievements

3
H-Index
4
Papers
47
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Games and machine learning: a powerful combination in an artificial intelligence course
31 citations · 2010
📈 Most Prolific Year: 2006 (2 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: University of Hartford

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago